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An overview of non-survey construction methods for regional input-output tables (RIOTs) reveals a systematic over-estimation of regional multipliers. The iterative bi-proportional scaling method RAS avoids this problem if it is fed with intra-regional row and column totals without a systematic bias. The Cell-Corrected RAS method, additionally, takes advantage of the multitude of survey-based RIOTs to improve the intra-regional cell estimates of unknown RIOTs. Furthermore, it is shown how a semi-survey bi-regional IOT may be constructed with a double-entry construction method that requires only minimal survey data about the spatial destination of the total sales by regional industry. Finally, product-by-industry, national and interregional supply-use tables (SUTs) are introduced, along with the models based on them, and the assumptions needed to construct them.

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This page is a summary of: Data Construction: From IO Tables to Supply-Use Models, January 2019, Springer Science + Business Media,
DOI: 10.1007/978-3-030-33447-5_3.
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